# Make Bazel not try to probe the host system for a C++ toolchain.
build:rbe_base --config=resultstore
build:rbe_base --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
build:rbe_base --define=EXECUTOR=remote
build:rbe_base --jobs=800
build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local

// but not run them.
//
// The -r flag causes clean to be applied recursively to all the
// dependencies of the packages named by the import paths.
//
// The -x flag causes clean to print remove commands as it executes them.
//
// The -cache flag causes clean to remove the entire go build cache.
//
// The -testcache flag causes clean to expire all test results in the
// go build cache.
//

returns `f(inputs)`, where `f`'s body is placed and partitioned.
  }];

  let description = [{
Asynchronously executes a function, potentially across multiple devices but
within a single process. The kernel places and partitions a given function's
underlying graph, and executes each of the partitioned subgraphs as a function.
  }];

  let arguments = (ins

                       ->getOrLoadDialect<mlir::TFL::TensorFlowLiteDialect>();
    vhlo_dialect_ =
        module.getContext()->getOrLoadDialect<mlir::vhlo::VhloDialect>();
    // Right now the TF executor dialect is still needed to build NodeDef.
    module.getContext()
        ->getOrLoadDialect<mlir::tf_executor::TensorFlowExecutorDialect>();
  }

  std::optional<std::string> TranslateInternal();

        decisions.
*   PluggableDevice
    *   Third-party devices can now connect to TensorFlow as plug-ins through
        [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
        and
        [PluggableDevice](https://github.com/tensorflow/community/blob/master/rfcs/20200624-pluggable-device-for-tensorflow.md)
        interface.
        *   Add custom ops and kernels through